Cut through traffic like a snake: cooperative adaptive cruise control with successive platoon lane-change capability

A cooperative adaptive cruise control (CACC) system may be impeded by slow-moving traffic in the application. To improve the mobility of CACC, this research proposes a CACC controller with successive platoon lane-change capability. The goal is to help a platoon cut through traffic successively like a snake via smaller windows. The proposed controller has the following features: i) with successive platoon lane-change capability; ii) with string stability and lateral stability; iii) with consideration of vehicle dynamics. The proposed controller is evaluated on a simulation platform with the context of traffic and a joint simulation platform consisting of PreScan and Matlab/Simulink. the Results demonstrate that compared to the conventional controller: i) platoon lane-change competence is enhanced by 71.36% on arterials and 120.49% on freeways; ii) platoon lane-change efficiency is enhanced by 25.05% on arterials and 41.36% on freeways; iii) the proposed controller is more robust against congestion. Moreover, the computation time of the proposed controller is approximately 15 milliseconds when running on a laptop equipped with an Intel i7-8750H CPU. This indicates that the proposed controller is ready for real-time implementation.

• Record URL:
  https://doi.org/10.1080/15472450.2022.2114081
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/15472450
• Supplemental Notes:
  • © 2022 Taylor & Francis Group, LLC 2022. Abstract reprinted with permission of Taylor & Francis.
• Authors:
  • Wang, Haoran
  • Li, Xin
  • Zhang, Xianhong
  • Hu, Jia
  • Yan, Xuerun
  • Feng, Yongwei
• Publication Date: 2024-3

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 141-162
• Serial:
  • Journal of Intelligent Transportation Systems
  • Volume: 28
  • Issue Number: 2
  • Publisher: Taylor & Francis
  • ISSN: 1547-2450
  • EISSN: 1547-2442
  • Serial URL: http://www.tandfonline.com/loi/gits20

Subject/Index Terms

• TRT Terms: Automatic controllers; Autonomous intelligent cruise control; Lane changing; Stability analysis; Stringers; Traffic platooning; Vehicle dynamics
• Subject Areas: Data and Information Technology; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01909952
• Record Type: Publication
• Files: TRIS
• Created Date: Feb 27 2024 10:09AM